路由器数据统计SQL脚本
一、路由器部分
//【饼图】统计路由器在线、离线数量
SELECT COUNT(*) AS total,
COUNT(CASE WHEN last_heartbeat_time >= UNIX_TIMESTAMP(DATE_ADD(NOW(), INTERVAL -30 MINUTE)) THEN 1 ELSE NULL END) AS livecount,
COUNT(CASE WHEN last_heartbeat_time < UNIX_TIMESTAMP(DATE_ADD(NOW(), INTERVAL -30 MINUTE)) THEN 1 WHEN last_heartbeat_time IS NULL THEN 1 ELSE NULL END) AS diecount
FROM wifi_routemap 二、Portal Page页面统计部分 //【饼图】访问页面数量，以路由器进行排名
SELECT `ap_mac`, COUNT(`ap_mac`) AS `total`
FROM `wifi_status_page`
GROUP BY `ap_mac`
ORDER BY `total` DESC //【饼图】访问页面数量，以用户进行排名
SELECT `user_mac`, COUNT(`user_mac`) AS `total`
FROM `wifi_status_page`
GROUP BY `user_mac`
ORDER BY `total` DESC //【饼图】访问页面数量，以页面进行排名
SELECT `page_url`, COUNT(`page_url`) AS `total`
FROM `wifi_status_page`
GROUP BY `page_url`
ORDER BY `total` DESC //【饼图】统计访问页面数量，以分辨率进行排名，
// 实际数据为浏览器，而非屏幕的，取消
SELECT CONCAT(`height`, "*", `width`) AS `resolution`, COUNT(CONCAT(`height`, "*", `width`)) AS `total`
FROM `wifi_status_page`
GROUP BY CONCAT(`height`, "*", `width`)
ORDER BY `total` DESC
LIMIT 0 , 30 //【饼图】查询手机操作系统类型（分Android、IOS、WP、BB、Symbian及其他），不包含在下面的，需要用php计算得出并放入other字段
SELECT COUNT(id) AS total,
COUNT(CASE WHEN user_agent LIKE "%android%" THEN 1 ELSE NULL END ) AS Android,
COUNT(CASE WHEN user_agent LIKE "%iphone%" THEN 1 ELSE NULL END ) AS iOS,
COUNT(CASE WHEN user_agent LIKE "%windows phone%" THEN 1 ELSE NULL END ) AS `Windows Phone`,
COUNT(CASE WHEN user_agent LIKE "%blackberry%" THEN 1 ELSE NULL END ) AS BlackBerry,
COUNT(CASE WHEN user_agent LIKE "%symbian%" THEN 1 ELSE NULL END ) AS Symbian
FROM wifi_status_page //【饼图】查询iPhone手机型号，不包含在下面的，需要用php计算得出并放入other字段
SELECT COUNT(CASE WHEN user_agent LIKE "%iphone%" THEN 1 ELSE NULL END) AS total,
COUNT(CASE WHEN user_agent LIKE "%iphone%" AND CONCAT(height,"*",width) = "480*320" THEN 1 ELSE NULL END ) AS `iPhone 3G/3GS`,
COUNT(CASE WHEN user_agent LIKE "%iphone%" AND CONCAT(height,"*",width) = "960*640" THEN 1 ELSE NULL END ) AS `iPhone 4/4S`,
COUNT(CASE WHEN user_agent LIKE "%iphone%" AND CONCAT(height,"*",width) = "1136*640" THEN 1 ELSE NULL END ) AS `iPhone 5/5C/5S`,
COUNT(CASE WHEN user_agent LIKE "%iphone%" AND (CONCAT(height,"*",width) = "1334*750" OR CONCAT(height,"*",width) = "568*320") THEN 1 ELSE NULL END ) AS `iPhone 6/6S`,
COUNT(CASE WHEN user_agent LIKE "%iphone%" AND CONCAT(height,"*",width) = "1920*1080" THEN 1 ELSE NULL END ) AS `iPhone 6/6S Plus`
FROM wifi_status_page //【饼图】查询浏览器类型，不包含在下面的，需要用php计算得出并放入other字段
SELECT COUNT( id ) AS total,
COUNT(CASE WHEN user_agent LIKE "%QQBrowser%" THEN 1 ELSE NULL END ) AS QQBrowser,
COUNT(CASE WHEN user_agent LIKE "%MicroMessenger%" THEN 1 ELSE NULL END ) AS WeChat,
COUNT(CASE WHEN user_agent LIKE "%UCBrowser%" OR user_agent LIKE "%UCWeb%" THEN 1 ELSE NULL END ) AS UC,
COUNT(CASE WHEN user_agent LIKE "%Opera%" THEN 1 ELSE NULL END ) AS Opera,
COUNT(CASE WHEN user_agent LIKE "%Sogou%" THEN 1 ELSE NULL END ) AS Sogou,
COUNT(CASE WHEN user_agent LIKE "%Chrome%" THEN 1 ELSE NULL END ) AS Chrome,
COUNT(CASE WHEN user_agent LIKE "%360SE%" OR user_agent LIKE "%360EE%" THEN 1 ELSE NULL END ) AS `360`,
COUNT(CASE WHEN user_agent LIKE "%Maxthon%" THEN 1 ELSE NULL END ) AS Maxthon,
COUNT(CASE WHEN user_agent LIKE "%IEMobile%" THEN 1 ELSE NULL END ) AS MSIE,
COUNT(CASE WHEN user_agent LIKE "%dolphin%" THEN 1 ELSE NULL END ) AS dolphin,
COUNT(CASE WHEN user_agent LIKE "%Oupeng%" THEN 1 ELSE NULL END ) AS Oupeng,
COUNT(CASE WHEN user_agent LIKE "%LieBao%" AND user_agent not LIKE "%chrome%" THEN 1 ELSE NULL END ) AS LieBao,
COUNT(CASE WHEN user_agent LIKE "%baidu%" AND user_agent not LIKE "%chrome%" THEN 1 ELSE NULL END ) AS Baidu,
COUNT(CASE WHEN user_agent LIKE "%xiaomi%" AND user_agent not LIKE "%chrome%" THEN 1 ELSE NULL END ) AS XiaoMi,
COUNT(CASE WHEN user_agent LIKE "%Firefox%" THEN 1 ELSE NULL END ) AS Firefox
FROM wifi_status_page //【饼图】查询手机厂商，不包含在下面的，需要用php计算得出并放入other字段，
// 厂家数据太乱，ua也不全不完整，不做...........................................
// SELECT COUNT( id ) AS total,
// COUNT(CASE WHEN user_agent LIKE "%iphone%" THEN 1 ELSE NULL END ) AS Apple,
// COUNT(CASE WHEN user_agent LIKE "%Huawei%" THEN 1 ELSE NULL END ) AS Huawei,
// COUNT(CASE WHEN user_agent LIKE "%XiaoMi%" THEN 1 ELSE NULL END ) AS XiaoMi,
// COUNT(CASE WHEN user_agent LIKE "%MeiZu%" THEN 1 ELSE NULL END ) AS MeiZu,
// COUNT(CASE WHEN user_agent LIKE "%Samsung%" THEN 1 ELSE NULL END ) AS Samsung,
// COUNT(CASE WHEN user_agent LIKE "%VIVO%" THEN 1 ELSE NULL END ) AS VIVO,
// COUNT(CASE WHEN user_agent LIKE "%Nokia%" THEN 1 ELSE NULL END ) AS Nokia,
// COUNT(CASE WHEN user_agent LIKE "%nubia%" THEN 1 ELSE NULL END ) AS nubia,
// COUNT(CASE WHEN user_agent LIKE "%lenovo%" THEN 1 ELSE NULL END ) AS lenovo,
// COUNT(CASE WHEN user_agent LIKE "%oppo%" THEN 1 ELSE NULL END ) AS oppo,
// COUNT(CASE WHEN user_agent LIKE "%zte%" THEN 1 ELSE NULL END ) AS zte,
// COUNT(CASE WHEN user_agent LIKE "%qiku%" THEN 1 ELSE NULL END ) AS qiku,
// COUNT(CASE WHEN user_agent LIKE "%smart%" THEN 1 ELSE NULL END ) AS smartisam,
// COUNT(CASE WHEN user_agent LIKE "%coolpad%" THEN 1 ELSE NULL END ) AS coolpad,
// COUNT(CASE WHEN user_agent LIKE "%oneplus%" THEN 1 ELSE NULL END ) AS oneplus,
// COUNT(CASE WHEN user_agent LIKE "%letv%" THEN 1 ELSE NULL END ) AS letv,
// COUNT(CASE WHEN user_agent LIKE "%htc%" THEN 1 ELSE NULL END ) AS htc,
// COUNT(CASE WHEN user_agent LIKE "%tcl%" THEN 1 ELSE NULL END ) AS tcl,
// COUNT(CASE WHEN user_agent LIKE "%microsoft%" THEN 1 ELSE NULL END ) AS microsoft,
// COUNT(CASE WHEN user_agent LIKE "%philips%" THEN 1 ELSE NULL END ) AS philips,
// COUNT(CASE WHEN user_agent LIKE "%motorola%" THEN 1 ELSE NULL END ) AS motorola,
// COUNT(CASE WHEN user_agent LIKE "%haier%" THEN 1 ELSE NULL END ) AS haier,
// COUNT(CASE WHEN user_agent LIKE "%hisense%" THEN 1 ELSE NULL END ) AS hisense,
// COUNT(CASE WHEN user_agent LIKE "%LG%" THEN 1 ELSE NULL END ) AS LG
// FROM wifi_status_page //【曲线图】今天分时统计（需要用php以当前小时为基点，控制首列小时的显示个数，但在曲线图中横坐标要写满24小时，未到的时间点以空白显示）
//当前几点就减到第几条
SELECT td AS showhour, COALESCE(totalcount, 0) AS totalcount, COALESCE(totalapmac, 0) AS totalapmac, COALESCE(totalusermac, 0) AS totalusermac
FROM (
SELECT DATE_FORMAT(now(),'%H:00') AS td
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -1 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -2 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -3 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -4 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -5 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -6 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -7 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -8 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -9 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -10 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -11 HOUR),'%H:00')
ORDER BY td
)a
LEFT JOIN (
SELECT FROM_UNIXTIME(add_time, '%H:00') add_data, COUNT(id) AS totalcount, COUNT(DISTINCT ap_mac) AS totalapmac, COUNT(DISTINCT user_mac) AS totalusermac
FROM wifi_status_page
WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') = CURDATE()
GROUP BY add_data
)b ON a.td = b.add_data //【曲线图】昨天24小时分时统计，每小时统计数量，路由器数，手机数，以小时为序，
SELECT td AS showhour, COALESCE(totalcount, 0) AS totalcount, COALESCE(totalapmac, 0) AS totalapmac, COALESCE(totalusermac, 0) AS totalusermac
FROM (
SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -1 HOUR),'%Y-%m-%d %H:00') as td
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -2 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -3 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -4 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -5 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -6 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -7 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -8 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -9 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -10 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -11 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -12 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -13 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -14 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -15 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -16 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -17 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -18 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -19 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -20 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -21 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -22 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -23 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -24 HOUR),'%Y-%m-%d %H:00')
ORDER BY td
)a
LEFT JOIN (
SELECT FROM_UNIXTIME(add_time, '%Y-%m-%d %H:00') add_data, COUNT(id) AS totalcount, COUNT(DISTINCT ap_mac) AS totalapmac, COUNT(DISTINCT user_mac) AS totalusermac
FROM wifi_status_page
WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') = date_sub(CURDATE(), INTERVAL 1 DAY) AND ap_mac = 'bc14efab747d'
GROUP BY add_data
)b ON a.td = b.add_data //【曲线图】最近7天页面访问量，每日统计数量，路由器数，手机数，以日期为序，
SELECT td AS showdate, COALESCE(totalcount, 0) AS totalcount, COALESCE(totalapmac, 0) AS totalapmac, COALESCE(totalusermac, 0) AS totalusermac
FROM (
SELECT CURDATE( ) AS td
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -1 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -2 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -3 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -4 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -5 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -6 DAY)
ORDER BY td
)a
LEFT JOIN (
SELECT FROM_UNIXTIME(add_time, '%Y-%m-%d') add_data, COUNT(id) AS totalcount, COUNT(DISTINCT ap_mac) AS totalapmac, COUNT(DISTINCT user_mac) AS totalusermac
FROM wifi_status_page
WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') BETWEEN DATE_ADD(CURDATE(), INTERVAL -6 DAY) AND CURDATE()
GROUP BY add_data
)b ON a.td = b.add_data //【曲线图】最近30天页面访问量，每日统计数量，路由器数，手机数，以日期为序，
SELECT td AS showdate, COALESCE(totalcount, 0) AS totalcount, COALESCE(totalapmac, 0) AS totalapmac, COALESCE(totalusermac, 0) AS totalusermac
FROM (
SELECT CURDATE( ) AS td
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -1 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -2 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -3 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -4 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -5 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -6 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -7 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -8 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -9 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -10 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -11 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -12 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -13 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -14 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -15 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -16 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -17 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -18 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -19 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -20 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -21 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -22 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -23 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -24 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -25 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -26 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -27 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -28 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -29 DAY)
ORDER BY td
)a
LEFT JOIN (
SELECT FROM_UNIXTIME(add_time, '%Y-%m-%d') add_data, COUNT(id) AS totalcount, COUNT(DISTINCT ap_mac) AS totalapmac, COUNT(DISTINCT user_mac) AS totalusermac
FROM wifi_status_page
WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') BETWEEN DATE_ADD(CURDATE(), INTERVAL -29 DAY) AND CURDATE()
GROUP BY add_data
)b ON a.td = b.add_data //【曲线图】指定开始结束日期，每日统计数量，路由器数，手机数，以日期为序，
//开始 '2016-01-10' 结束 '2016-01-26'
SELECT td AS showdate, COALESCE(totalcount, 0) AS totalcount, COALESCE(totalapmac, 0) AS totalapmac, COALESCE(totalusermac, 0) AS totalusermac
FROM (
SELECT '2016-01-10' AS td
UNION all SELECT DATE_ADD('2016-01-10', INTERVAL 1 DAY)
UNION all SELECT DATE_ADD('2016-01-10', INTERVAL 2 DAY)
UNION all SELECT DATE_ADD('2016-01-10', INTERVAL 3 DAY)
UNION all SELECT DATE_ADD('2016-01-10', INTERVAL 4 DAY)
UNION all SELECT DATE_ADD('2016-01-10', INTERVAL 5 DAY)
UNION all SELECT DATE_ADD('2016-01-10', INTERVAL 6 DAY)
UNION all SELECT DATE_ADD('2016-01-10', INTERVAL 7 DAY)
UNION all SELECT DATE_ADD('2016-01-10', INTERVAL 8 DAY)
UNION all SELECT DATE_ADD('2016-01-10', INTERVAL 9 DAY)
UNION all SELECT DATE_ADD('2016-01-10', INTERVAL 10 DAY)
UNION all SELECT DATE_ADD('2016-01-10', INTERVAL 11 DAY)
UNION all SELECT DATE_ADD('2016-01-10', INTERVAL 12 DAY)
UNION all SELECT DATE_ADD('2016-01-10', INTERVAL 13 DAY)
UNION all SELECT DATE_ADD('2016-01-10', INTERVAL 14 DAY)
UNION all SELECT DATE_ADD('2016-01-10', INTERVAL 15 DAY)
UNION all SELECT DATE_ADD('2016-01-10', INTERVAL 16 DAY)
)a LEFT JOIN (
SELECT FROM_UNIXTIME(add_time, '%Y-%m-%d') add_data, COUNT(id) AS totalcount, COUNT(DISTINCT ap_mac) AS totalapmac, COUNT(DISTINCT user_mac) AS totalusermac
FROM wifi_status_page
WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') BETWEEN '2016-01-10' AND '2016-01-26'
GROUP BY add_data
)b ON a.td = b.add_data //php实现
$sdate="2016-01-10";
$edate="2016-01-25"; $datetime1 = date_create($sdate);
$datetime2 = date_create($edate);
$leftday = intval(date_diff($datetime1, $datetime2)->format('%a')); $sql="SELECT td AS showdate, COALESCE(totalcount, 0) AS totalcount, COALESCE(totalapmac, 0) AS totalapmac, COALESCE(totalusermac, 0) AS totalusermac FROM ( ";
$sql.="SELECT '$sdate' as td ";
for($i=1; $i <= $leftday;$i++){
$sql.="UNION all SELECT DATE_ADD('$sdate', INTERVAL $i DAY) ";
}
$sql.=") a LEFT JOIN ( ";
$sql.="SELECT FROM_UNIXTIME(add_time, '%Y-%m-%d') add_data, COUNT(id) AS totalcount, COUNT(DISTINCT ap_mac) AS totalapmac, COUNT(DISTINCT user_mac) AS totalusermac FROM wifi_status_page ";
$sql.="WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') between '$sdate' and '$edate' GROUP BY add_data ";
$sql.=") b on a.td=b.add_data"; echo $sql; 三、微信连WiFi统计部分 //【饼图】微信连WiFi数量，以路由器进行排名
SELECT `ap_mac`, COUNT(`ap_mac`) AS `total`
FROM `wifi_status_wechat`
GROUP BY `ap_mac`
ORDER BY `total` DESC //【饼图】微信连WiFi数量，以微信公众账号进行排名，右连接显示公众账号名称
SELECT wifi_wxwifi.wxgzh, COUNT( wifi_wxwifi.wxgzh ) AS total
FROM wifi_status_wechat
LEFT JOIN wifi_wxwifi ON wifi_status_wechat.shopid = wifi_wxwifi.shopId
GROUP BY wxgzh
ORDER BY total DESC //【曲线图】今天分时统计，到当前小时为止, 微信连WiFi量，每日总连接次数，路由器被连数量，公众账号被连数量，连接手机数量，连接OpenID数量
SELECT td AS showhour, COALESCE(totalcount, 0) AS totalcount, COALESCE(totalapmac, 0) AS totalapmac, COALESCE(totalusermac, 0) AS totalusermac, COALESCE(totalappid, 0) AS totalappid, COALESCE(totalopenid, 0) AS totalopenid
FROM (
SELECT DATE_FORMAT(now(),'%H:00') AS td
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -1 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -2 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -3 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -4 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -5 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -6 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -7 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -8 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -9 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -10 HOUR),'%H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -11 HOUR),'%H:00')
ORDER BY td
)a
LEFT JOIN (
SELECT FROM_UNIXTIME(add_time, '%H:00') add_data, COUNT(id) AS totalcount, COUNT(DISTINCT ap_mac) AS totalapmac, COUNT(DISTINCT user_mac) AS totalusermac, COUNT(DISTINCT appid) AS totalappid, COUNT(DISTINCT openid) AS totalopenid
FROM wifi_status_wechat
WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') = CURDATE()
GROUP BY add_data
)b ON a.td = b.add_data //【曲线图】昨天24小时分时统计, 微信连WiFi量，每日总连接次数，路由器被连数量，公众账号被连数量，连接手机数量，连接OpenID数量
SELECT td AS showdate, COALESCE(totalcount, 0) AS totalcount, COALESCE(totalapmac, 0) AS totalapmac, COALESCE(totalusermac, 0) AS totalusermac, COALESCE(totalappid, 0) AS totalappid, COALESCE(totalopenid, 0) AS totalopenid
FROM (
SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -1 HOUR),'%Y-%m-%d %H:00') as td
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -2 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -3 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -4 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -5 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -6 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -7 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -8 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -9 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -10 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -11 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -12 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -13 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -14 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -15 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -16 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -17 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -18 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -19 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -20 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -21 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -22 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -23 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -24 HOUR),'%Y-%m-%d %H:00')
ORDER BY td
)a
LEFT JOIN (
SELECT FROM_UNIXTIME(add_time, '%Y-%m-%d %H:00') add_data, COUNT(id) AS totalcount, COUNT(DISTINCT ap_mac) AS totalapmac, COUNT(DISTINCT user_mac) AS totalusermac, COUNT(DISTINCT appid) AS totalappid, COUNT(DISTINCT openid) AS totalopenid
FROM wifi_status_wechat
WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') = DATE_SUB(CURDATE(), INTERVAL 1 DAY)
GROUP BY add_data
)b ON a.td = b.add_data //【曲线图】最近7天微信连WiFi量，每日总连接次数，路由器被连数量，公众账号被连数量，连接手机数量，连接OpenID数量
SELECT td AS showdate, COALESCE(totalcount, 0) AS totalcount, COALESCE(totalapmac, 0) AS totalapmac, COALESCE(totalusermac, 0) AS totalusermac, COALESCE(totalappid, 0) AS totalappid, COALESCE(totalopenid, 0) AS totalopenid
FROM (
SELECT CURDATE( ) AS td
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -1 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -2 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -3 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -4 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -5 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -6 DAY)
ORDER BY td
)a
LEFT JOIN (
SELECT FROM_UNIXTIME(add_time, '%Y-%m-%d') add_data, COUNT(id) AS totalcount, COUNT(DISTINCT ap_mac) AS totalapmac, COUNT(DISTINCT user_mac) AS totalusermac, COUNT(DISTINCT appid) AS totalappid, COUNT(DISTINCT openid) AS totalopenid
FROM wifi_status_wechat
WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') BETWEEN DATE_ADD(CURDATE(), INTERVAL -6 DAY) AND CURDATE()
GROUP BY add_data
)b ON a.td = b.add_data //【曲线图】最近30天微信连WiFi量，每日总连接次数，路由器被连数量，公众账号被连数量，连接手机数量，连接OpenID数量
SELECT td AS showdate, COALESCE(totalcount, 0) AS totalcount, COALESCE(totalapmac, 0) AS totalapmac, COALESCE(totalusermac, 0) AS totalusermac, COALESCE(totalappid, 0) AS totalappid, COALESCE(totalopenid, 0) AS totalopenid
FROM (
SELECT CURDATE( ) AS td
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -1 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -2 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -3 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -4 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -5 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -6 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -7 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -8 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -9 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -10 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -11 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -12 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -13 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -14 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -15 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -16 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -17 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -18 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -19 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -20 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -21 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -22 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -23 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -24 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -25 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -26 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -27 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -28 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -29 DAY)
ORDER BY td
)a
LEFT JOIN (
SELECT FROM_UNIXTIME(add_time, '%Y-%m-%d') add_data, COUNT(id) AS totalcount, COUNT(DISTINCT ap_mac) AS totalapmac, COUNT(DISTINCT user_mac) AS totalusermac, COUNT(DISTINCT appid) AS totalappid, COUNT(DISTINCT openid) AS totalopenid
FROM wifi_status_wechat
WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') BETWEEN DATE_ADD(CURDATE(), INTERVAL -29 DAY) AND CURDATE()
GROUP BY add_data
)b ON a.td = b.add_data 四、视频点播统计
//【饼图】视频点播数量，以路由器进行排名
SELECT `ap_mac`, COUNT(`ap_mac`) AS `total`
FROM `wifi_status_video`
GROUP BY `ap_mac`
ORDER BY `total` DESC //【饼图】视频点播数量，以点播次数进行排名，右连接视频名称
SELECT wifi_videolist.id, wifi_videolist.name, COUNT( wifi_videolist.name ) AS total
FROM wifi_status_video
LEFT JOIN wifi_videolist ON wifi_status_video.videoid = wifi_videolist.id
GROUP BY name
ORDER BY total DESC //【曲线图】最近24小时视频点播量，每日总连接次数，路由器被点数量，手机点播数量 //【曲线图】昨天24小时视频点播量，每日总连接次数，路由器被点数量，手机点播数量
SELECT td AS showdate, COALESCE(totalcount, 0) AS totalcount, COALESCE(totalapmac, 0) AS totalapmac, COALESCE(totalusermac, 0) AS totalusermac
FROM (
SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -1 HOUR),'%Y-%m-%d %H:00') as td
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -2 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -3 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -4 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -5 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -6 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -7 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -8 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -9 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -10 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -11 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -12 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -13 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -14 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -15 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -16 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -17 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -18 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -19 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -20 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -21 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -22 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -23 HOUR),'%Y-%m-%d %H:00')
UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -24 HOUR),'%Y-%m-%d %H:00')
ORDER BY td
)a
LEFT JOIN (
SELECT FROM_UNIXTIME(add_time, '%Y-%m-%d %H:00') add_data, COUNT(id) AS totalcount, COUNT(DISTINCT ap_mac) AS totalapmac, COUNT(DISTINCT user_mac) AS totalusermac
FROM wifi_status_video
WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') = DATE_SUB(CURDATE(), INTERVAL 1 DAY)
GROUP BY add_data
)b ON a.td = b.add_data //【曲线图】最近7天视频点播量，每日总连接次数，路由器被点数量，手机点播数量 //【曲线图】最近30天视频点播量，每日总连接次数，路由器被点数量，手机点播数量
SELECT td AS showdate, COALESCE(totalcount, 0) AS totalcount, COALESCE(totalapmac, 0) AS totalapmac, COALESCE(totalusermac, 0) AS totalusermac
FROM (
SELECT CURDATE( ) AS td
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -1 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -2 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -3 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -4 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -5 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -6 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -7 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -8 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -9 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -10 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -11 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -12 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -13 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -14 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -15 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -16 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -17 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -18 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -19 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -20 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -21 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -22 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -23 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -24 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -25 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -26 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -27 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -28 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -29 DAY)
ORDER BY td
)a
LEFT JOIN (
SELECT FROM_UNIXTIME(add_time, '%Y-%m-%d') add_data, COUNT(id) AS totalcount, COUNT(DISTINCT ap_mac) AS totalapmac, COUNT(DISTINCT user_mac) AS totalusermac
FROM wifi_status_video
WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') BETWEEN DATE_ADD(CURDATE(), INTERVAL -29 DAY) AND CURDATE()
GROUP BY add_data
)b ON a.td = b.add_data 五、APP统计
//【饼图】APP点播数量，以路由器进行排名
SELECT `ap_mac`, COUNT(`ap_mac`) AS `total`
FROM `wifi_status_app`
GROUP BY `ap_mac`
ORDER BY `total` DESC //【饼图】APP下载数量，以下载次数进行排名，右连接APP名称
SELECT wifi_applist.appId, wifi_applist.appName, COUNT( wifi_applist.appName ) AS total
FROM wifi_status_app
LEFT JOIN wifi_applist ON wifi_status_app.appid = wifi_applist.appId
GROUP BY appName
ORDER BY total DESC //【曲线图】最近N小时APP下载量，每日总连接次数，路由器被点数量，手机下载数量 //【曲线图】昨天24小时APP下载量，每日总连接次数，路由器被点数量，手机点播数量 //【曲线图】最近7天APP下载量，每日总连接次数，路由器被点数量，手机点播数量 //【曲线图】最近30天APP下载量，每日总连接次数，路由器被点数量，手机点播数量 六、探针
//【柱状图】 24小时内 用户MAC 停留小时长度及用户个数，横坐标：小时长度（1-24）; 纵坐标：时间长度(1-24)
// step 1
// //【条状图】 所有apmac的人流量排名，
// SELECT `apmac`, SUM(LENGTH(clients) - LENGTH(REPLACE(clients,',',''))) AS totalcount
// FROM `wifi_probe_status`
// GROUP BY `apmac`
// ORDER BY `totalcount` DESC // step 2
// 1). 获取昨天24小时内所有mac列表，再使用php去重
// SELECT FROM_UNIXTIME(add_time, '%Y-%m-%d %H') add_data , clients
// FROM wifi_probe_status
// WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') = DATE_SUB(CURDATE(), INTERVAL 1 DAY) AND `apmac` = 'bc14efab747d'
// ORDER BY add_data // SELECT apmac, GROUP_CONCAT(clients)
// FROM wifi_probe_status
// WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') = DATE_SUB(CURDATE(), INTERVAL 1 DAY) AND `apmac` = 'bc14efab747d' // 2). 获取每个mac在昨天内停留的小时长度
// SELECT MAX(FROM_UNIXTIME(add_time, '%H')) AS max, MIN(FROM_UNIXTIME(add_time, '%H')) AS min, (max - min) as interval
// FROM wifi_probe_status
// WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') = DATE_SUB(CURDATE(), INTERVAL 1 DAY) AND clients LIKE "%e82aeadc1950%" // 3). 根据所有mac停留时间长度，算出分布图 【曲线图】昨日各小时附近用户总数，指定路由器
SELECT ap_mac as apmac, COUNT(id) AS total,
COUNT(CASE WHEN h00_time <> '' THEN 1 ELSE NULL END) AS `00`,
COUNT(CASE WHEN h01_time <> '' THEN 1 ELSE NULL END) AS `01`,
COUNT(CASE WHEN h02_time <> '' THEN 1 ELSE NULL END) AS `02`,
COUNT(CASE WHEN h03_time <> '' THEN 1 ELSE NULL END) AS `03`,
COUNT(CASE WHEN h04_time <> '' THEN 1 ELSE NULL END) AS `04`,
COUNT(CASE WHEN h05_time <> '' THEN 1 ELSE NULL END) AS `05`,
COUNT(CASE WHEN h06_time <> '' THEN 1 ELSE NULL END) AS `06`,
COUNT(CASE WHEN h07_time <> '' THEN 1 ELSE NULL END) AS `07`,
COUNT(CASE WHEN h08_time <> '' THEN 1 ELSE NULL END) AS `08`,
COUNT(CASE WHEN h09_time <> '' THEN 1 ELSE NULL END) AS `09`,
COUNT(CASE WHEN h10_time <> '' THEN 1 ELSE NULL END) AS `10`,
COUNT(CASE WHEN h11_time <> '' THEN 1 ELSE NULL END) AS `11`,
COUNT(CASE WHEN h12_time <> '' THEN 1 ELSE NULL END) AS `12`,
COUNT(CASE WHEN h13_time <> '' THEN 1 ELSE NULL END) AS `13`,
COUNT(CASE WHEN h14_time <> '' THEN 1 ELSE NULL END) AS `14`,
COUNT(CASE WHEN h15_time <> '' THEN 1 ELSE NULL END) AS `15`,
COUNT(CASE WHEN h16_time <> '' THEN 1 ELSE NULL END) AS `16`,
COUNT(CASE WHEN h17_time <> '' THEN 1 ELSE NULL END) AS `17`,
COUNT(CASE WHEN h18_time <> '' THEN 1 ELSE NULL END) AS `18`,
COUNT(CASE WHEN h19_time <> '' THEN 1 ELSE NULL END) AS `19`,
COUNT(CASE WHEN h20_time <> '' THEN 1 ELSE NULL END) AS `20`,
COUNT(CASE WHEN h21_time <> '' THEN 1 ELSE NULL END) AS `21`,
COUNT(CASE WHEN h22_time <> '' THEN 1 ELSE NULL END) AS `22`,
COUNT(CASE WHEN h23_time <> '' THEN 1 ELSE NULL END) AS `23`
FROM wifi_status_probe
WHERE ap_user_date LIKE "%20160126%" AND `ap_mac` = 'bc14efab747d'
GROUP BY `apmac`
ORDER BY `total` DESC // SELECT td AS showhour, COALESCE(totalcount, 0) AS totalcount, COALESCE(totalapmac, 0) AS totalapmac
// FROM (
// SELECT DATE_FORMAT(now(),'%Y-%m-%d %H:00') AS td
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -1 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -2 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -3 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -4 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -5 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -6 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -7 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -8 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -9 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -10 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -11 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -12 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -13 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -14 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -15 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -16 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -17 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -18 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -19 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(NOW(), INTERVAL -20 HOUR),'%Y-%m-%d %H:00')
// ORDER BY td
// )a
// LEFT JOIN (
// SELECT FROM_UNIXTIME(add_time, '%Y-%m-%d %H:00') add_data, SUM(LENGTH(clients) - LENGTH(REPLACE(clients,',',''))) AS totalcount, COUNT(DISTINCT apmac) AS totalapmac
// FROM wifi_probe_status
// WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') = CURDATE()
// GROUP BY add_data
// )b ON a.td = b.add_data //【曲线图】昨天24小时附近用户总数，不同路由器附近数量
// SELECT td AS showdate, COALESCE(totalcount, 0) AS totalcount
// FROM (
// SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -1 HOUR),'%Y-%m-%d %H:00') as td
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -2 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -3 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -4 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -5 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -6 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -7 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -8 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -9 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -10 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -11 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -12 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -13 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -14 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -15 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -16 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -17 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -18 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -19 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -20 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -21 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -22 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -23 HOUR),'%Y-%m-%d %H:00')
// UNION ALL SELECT DATE_FORMAT(DATE_ADD(CURDATE(), INTERVAL -24 HOUR),'%Y-%m-%d %H:00')
// ORDER BY td
// )a
// LEFT JOIN (
// SELECT FROM_UNIXTIME(add_time, '%Y-%m-%d %H:00') add_data, SUM(LENGTH(clients) - LENGTH(REPLACE(clients,',',''))) AS totalcount
// FROM wifi_probe_status
// WHERE FROM_UNIXTIME(add_time, '%Y-%m-%d') = DATE_SUB(CURDATE(), INTERVAL 1 DAY) AND `apmac` = 'bc14efab747d'
// GROUP BY add_data
// )b ON a.td = b.add_data 【柱状图】用户访问次数分布图，每个mac的访问次数
SELECT td AS showvisit, COALESCE(totalcount, 0) AS totalcount
FROM (
SELECT 1 AS td
UNION ALL SELECT 2
UNION ALL SELECT 3
UNION ALL SELECT 4
UNION ALL SELECT 5
UNION ALL SELECT 6
UNION ALL SELECT 7
UNION ALL SELECT 8
UNION ALL SELECT 9
UNION ALL SELECT 10
UNION ALL SELECT 11
UNION ALL SELECT 12
UNION ALL SELECT 13
UNION ALL SELECT 14
UNION ALL SELECT 15
UNION ALL SELECT 16
UNION ALL SELECT 17
UNION ALL SELECT 18
UNION ALL SELECT 19
UNION ALL SELECT 20
UNION ALL SELECT 21
UNION ALL SELECT 22
UNION ALL SELECT 23
UNION ALL SELECT 24
ORDER BY td
)a
LEFT JOIN (
SELECT times, COUNT(times) AS totalcount
FROM (
SELECT id, user_mac, ROUND(LENGTH(CONCAT_WS('', h00_time,h01_time,h02_time,h03_time,h04_time,h05_time,h06_time,h07_time,h08_time,h09_time,h10_time,h11_time,h12_time,h13_time,h14_time,h15_time,h16_time,h17_time,h18_time,h19_time,h20_time,h21_time,h22_time,h23_time))/10) as times
FROM wifi_status_probe
WHERE ap_user_date LIKE "%20160128%" AND `ap_mac` = 'bc14efab7486'
ORDER BY times DESC
) b
GROUP BY times
)b ON a.td = b.times 【柱状图】用户访问次数分布图，每个mac的访问次数
SELECT td AS showvisit, COALESCE(totalcount, 0) AS totalcount
FROM (
SELECT 1 AS td
UNION ALL SELECT 2
UNION ALL SELECT 3
UNION ALL SELECT 4
UNION ALL SELECT 5
UNION ALL SELECT 6
UNION ALL SELECT 7
UNION ALL SELECT 8
UNION ALL SELECT 9
UNION ALL SELECT 10
UNION ALL SELECT 11
UNION ALL SELECT 12
UNION ALL SELECT 13
UNION ALL SELECT 14
UNION ALL SELECT 15
UNION ALL SELECT 16
UNION ALL SELECT 17
UNION ALL SELECT 18
UNION ALL SELECT 19
UNION ALL SELECT 20
UNION ALL SELECT 21
UNION ALL SELECT 22
UNION ALL SELECT 23
UNION ALL SELECT 24
ORDER BY td
)a
LEFT JOIN (
SELECT times, COUNT(times) AS totalcount
FROM (
SELECT id, user_mac, ROUND(LENGTH(CONCAT_WS('', h00_time,h01_time,h02_time,h03_time,h04_time,h05_time,h06_time,h07_time,h08_time,h09_time,h10_time,h11_time,h12_time,h13_time,h14_time,h15_time,h16_time,h17_time,h18_time,h19_time,h20_time,h21_time,h22_time,h23_time))/10) AS times
FROM wifi_status_probe
WHERE ap_user_date LIKE "%20160222%" AND `ap_mac` = 'bc14efab7486'
ORDER BY times DESC
) b
GROUP BY times
)b ON a.td = b.times //【曲线图】最近30天指定ap MAC每天的user mac数量分布
SELECT td AS showdate, COALESCE(totalusermac, 0) AS totalusermac
FROM (
SELECT CURDATE( ) AS td
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -1 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -2 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -3 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -4 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -5 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -6 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -7 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -8 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -9 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -10 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -11 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -12 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -13 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -14 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -15 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -16 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -17 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -18 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -19 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -20 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -21 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -22 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -23 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -24 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -25 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -26 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -27 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -28 DAY)
UNION ALL SELECT DATE_ADD(CURDATE(), INTERVAL -29 DAY)
ORDER BY td
)a
LEFT JOIN (
SELECT STR_TO_DATE(RIGHT(ap_user_date, 8), '%Y%m%d') add_data, COUNT(DISTINCT user_mac) AS totalusermac
FROM wifi_status_probe
WHERE STR_TO_DATE(RIGHT(ap_user_date, 8), '%Y%m%d') BETWEEN DATE_ADD(CURDATE(), INTERVAL -29 DAY) AND CURDATE() AND `ap_mac` = 'bc14efab7486'
GROUP BY add_data
)b ON a.td = b.add_data 【柱状图】指定ap mac时，用户30天内到到访天数分布
SELECT td AS showvisit, COALESCE(totalcount, 0) AS totalcount
FROM (
SELECT 1 AS td
UNION ALL SELECT 2
UNION ALL SELECT 3
UNION ALL SELECT 4
UNION ALL SELECT 5
UNION ALL SELECT 6
UNION ALL SELECT 7
UNION ALL SELECT 8
UNION ALL SELECT 9
UNION ALL SELECT 10
UNION ALL SELECT 11
UNION ALL SELECT 12
UNION ALL SELECT 13
UNION ALL SELECT 14
UNION ALL SELECT 15
UNION ALL SELECT 16
UNION ALL SELECT 17
UNION ALL SELECT 18
UNION ALL SELECT 19
UNION ALL SELECT 20
UNION ALL SELECT 21
UNION ALL SELECT 22
UNION ALL SELECT 23
UNION ALL SELECT 24
UNION ALL SELECT 25
UNION ALL SELECT 26
UNION ALL SELECT 27
UNION ALL SELECT 28
UNION ALL SELECT 29
UNION ALL SELECT 30
ORDER BY td
)a
LEFT JOIN (
SELECT times, COUNT(times) AS totalcount
FROM (
SELECT `user_mac`, count(`user_mac`) as times
FROM wifi_status_probe
WHERE STR_TO_DATE(RIGHT(ap_user_date, 8), '%Y%m%d') BETWEEN DATE_ADD(CURDATE(), INTERVAL -29 DAY) AND CURDATE() AND `ap_mac` = 'bc14efab7486'
GROUP BY user_mac
) b
GROUP BY times
)b ON a.td = b.times //15天内所有记录 , 每个user mac的访问次数
SELECT `user_mac`, count(`user_mac`) as times
FROM wifi_status_probe
WHERE STR_TO_DATE(RIGHT(ap_user_date, 8), '%Y%m%d') BETWEEN DATE_ADD(CURDATE(), INTERVAL -29 DAY) AND CURDATE() AND `ap_mac` = 'bc14efab7486'
GROUP BY user_mac
路由器数据统计SQL脚本的更多相关文章
- 常用的数据统计Sql 总结
最近刚在搞一个BI的项目,里面需要大量的sql 数据统计相关运用,加深了我又对SQL的理解与使用. 所以,分享几个数据统计时常用的sql 语句总结: 1. 统计各个条件下的数据 select Batc ...
- 常用的数据统计Sql 总结（转）
转:http://www.cnblogs.com/zhangweizhong/p/5577842.html 最近刚在搞一个BI的项目,里面需要大量的sql 数据统计相关运用,加深了我又对SQL的理解与 ...
- SQL Server 2008导出数据为SQL脚本的操作步骤
以前我们要将一个表中的数据导出为脚本,那么只有在网上找一个导出数据的Script,然后运行就可以导出数据脚本了.现在在SQL Server 2008的Management Studio中增加了一个新特 ...
- SQL Server里面如何导出包含数据的SQL脚本
通常情况下,SQL Server里面的生成SQL脚本,只会包含数据库及表的字段结构,而不会包含表的数据,也就是SQL脚本里面只有Create database,Create table 这样的语句,没 ...
- 使用Sqlserver 2012 导出表数据为SQL脚本
目录 前言 具体步骤 前言 很多时候,我们需要把数控库中的表的数据导出成SQL脚本的情形.然后,在别的库执行的情况. 以下,总结使用Sqlserver 2012数据库中表数据导出成SQL脚本的步骤. ...
- 读取excel数据生成sql脚本
package com.interact.util; import jxl.Cell; import jxl.Sheet; import jxl.Workbook; import jxl.read.b ...
- SQLServer2008导出表数据为SQL脚本
SQLServer2008的导出脚本方法: 数据库名-->右键 任务-->生存脚本 之后弹出SQLServer脚本生成向导 选择数据库 把编写数据可脚本这一项改为true,默认是false ...
- MySQL查询本周、上周、本月、上个月份数据的sql脚本
2018-11-13 查询今天的数据 select * from 表名 where to_days(时间字段名) = to_days(now()); 查询昨天的数据 SELECT * FROM 表名 ...
- SQL Server 2005 导出包含(insert into)数据的SQL脚本 (使用存储过程) 分类： 数据库
CREATE PROCEDURE dbo.UspOutputData @tablename sysname AS ) ) ) declare @xtype tinyint declare @name ...
随机推荐
- Arukas.io云主机安装CentOS
创建应用 1 jdeathe/centos-ssh:centos-6 启动应用 电机启动应用,应用会自动部署,等显示Running 就说明成功了.估计需要几分钟. 查看用户以及密码 自己保存下用户 ...
- 编写高质量代码:改善Java程序的151个建议 --[117~128]
编写高质量代码:改善Java程序的151个建议 --[117~128] Thread 不推荐覆写start方法 先看下Thread源码: public synchronized void start( ...
- 逗号分隔的字符串与List互转
将逗号分隔的字符串转换为List // 将逗号分隔的字符串转换为List String str = "a,b,c"; // 1.使用JDK,逗号分隔的字符串-->数组--&g ...
- CF235D Graph Game
CF235D Graph Game 好题 树? 考虑每个点被计算多少次 但是和当前分治中心有关系的 所以,f(a,b),对于a作为中心时候,和b相连的概率 也就是两者必然分离,最后一次连在一起的时候, ...
- Linux基本命令总结（一）
java开发的服务器一般都是linux系统,因此把有关命令小结一下: 1,cd [目录名] 进入相应的目录下. cd / 进入系统的根目录 cd .. 或者 cd .. // 退入当前位置的上级目录 ...
- react-native中的props
效果图 大多数组件在创建时就可以使用各种参数来进行定制.用于定制的这些参数就称为props(属性). 以常见的基础组件Image为例,在创建一个图片时,可以传入一个名为source的 prop 来指定 ...
- Java实现二叉树的前序、中序、后序、层序遍历（递归方法）
在数据结构中,二叉树是树中我们见得最多的,二叉查找树可以加速我们查找的效率,那么输出一个二叉树也变得尤为重要了. 二叉树的遍历方法分为四种,分别为前序遍历.中序遍历.后序.层序遍历.下图即为一 ...
- Day12--Python--生成器,生成器函数,推导式,生成器表达式
一.昨日内容回顾 惰性机制(只有执行__next__()才会取值)二.今日主要内容 1.生成器 生成器:本质是迭代器,写法和迭代器不一样.用法和迭代器一样. ※生成器记录的是代码 2.生成器函数 生成 ...
- tensorflow-gpu版本出现libcublas.so.8.0:cannot open shared object file
文章主要参考以下博客https://www.aliyun.com/zixun/wenji/1289957.html 在利用GPU加速tensorflow时,出现了libcublas.so.8.0:ca ...
- POJ 2728 Desert King (01分数规划）
Desert King Time Limit: 3000MS Memory Limit: 65536K Total Submissions:29775 Accepted: 8192 Descr ...